Brazauskas, J;
Lechelt, S;
Wood, E;
Evans, R;
Adams, S;
McFarland, E;
Marquardt, N;
(2021)
DataMoves: Entangling Data and Movement to Support Computer Science Education.
In:
Proceedings DIS '21: Designing Interactive Systems Conference 2021.
ACM
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Abstract
In the domain of computing education for children, much work has been done to devise creative and engaging methods of teaching about programming. However, there are many other fundamental aspects of computing that have so far received relatively less attention. This work explores how the topics of number systems and data representation can be taught in a way that piques curiosity and captures learners’ imaginations. Specifically, we present the design of two interactive physical computing artefacts, which we collectively call DataMoves, that enable students, 12-14 years old, to explore number systems and data through embodied movement and dance. Our evaluation of DataMoves, used in tandem with other pedagogical methods, demonstrates that the form of embodied, exploration-based learning adopted has much potential for deepening students’ understandings of computing topics, as well as for shaping positive perceptions of topics that are traditionally considered boring and dull.
| Type: | Proceedings paper |
|---|---|
| Title: | DataMoves: Entangling Data and Movement to Support Computer Science Education |
| Event: | DIS '21: Designing Interactive Systems Conference 2021 |
| ISBN-13: | 9781450384766 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3461778.3462039 |
| Publisher version: | https://doi.org/10.1145/3461778.3462039 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10130535 |
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